15 of 15 Reinforcement Learning Jobs in the South East

preferred) or London Start Date: August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive … analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI More ❯

define product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design … quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation and maintenance of scalable data pipelines (ETL/ELT … in senior/lead role): • Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). • Hands-on expertise building and deploying deep learning models (e.g., CNNs, Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering More ❯

Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary … youll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration … to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systemsblending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement More ❯

about designing and implementing AI systems that make a difference. What You'll Work On Design and implement AI solutions across a range of applications (e.g., NLP, computer vision, reinforcement learning). Develop and optimize algorithms that power our products. Build and maintain the infrastructure needed to train, evaluate, and deploy AI models at scale. Collaborate closely with … of-the-art AI techniques to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a plus. Experience … + equity - share in our success. Remote flexibility with a collaborative and supportive team culture. Work on challenging, meaningful AI projects with real-world impact. Opportunities for growth and learning - conferences, courses, mentorship. A chance to help shape both our technology and company culture from the ground up. More ❯

/ML research and development projects Providing engineering assurance across bids, publications, and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in … a relevant AI/ML discipline 10+ years of experience in AI/ML, ideally in defence or applied research Deep knowledge of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more … of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires at least 5 years of continuous UK residency. Package: £70,000 - £85,000 base 10% bonus Pension Medical cover To hear more More ❯

tackling some of the most complex data science problems across defence, security, and commercial sectors. You'll be part of a collaborative, cross-disciplinary environment, working alongside experts in reinforcement learning, NLP, knowledge graphs, and AI for RF and EW. As an AI Knowledge & Semantics Researcher, you'll have the freedom to innovate, lead projects, and develop cutting … edge solutions applying large language models (LLMs), graph machine learning, and semantic reasoning to real-world challenges. This is a perfect fit for someone with a passion for applied AI, who thrives in an environment that blends technical depth with real-world impact. Role Requirements: Lead research and development in NLP, knowledge graphs, and LLM-based applications. Guide a More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We … are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale … RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities More ❯

s with highly relevant commercial experience will also be considered) Full rights to work in the UK without limitation While not required, any additional experience with digital twins, machine learning, reinforcement learning or agentic systems within a scientific context would be beneficial. On offer is a very competitive salary and attractive benefits package including medical insurance and More ❯

servers or equivalent architectures.Work closely with data engineers, researchers, and platform teams to ensure robust deployment.Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.Required Skills & Experience:4+ years of experience in AI/ML engineering or data-intensive systems.Strong proficiency in Python for AI, ML, and data engineering tasks.Deep experience with Apache More ❯

Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to … data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker More ❯

an impact. Requirements A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate qualifications such … stakeholders, managing expectations, and driving projects through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the practical More ❯

an impact. Requirements A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate qualifications such … stakeholders, managing expectations, and driving projects through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the practical More ❯

Lead Technologist - AI & Machine Learning £85,000 GBP + Bonus Onsite WORKING Location: United Kingdom (East of England) Type: Permanent Job Title: Lead Technologist - AI & Machine Learning Chelmsford (Hybrid) Up tp £85k + Bonus We are seeking a highly skilled and experienced Lead Technologist to join a growing Data and Decision Support capability, working on cutting-edge AI … space, and commercial domains. This role offers a blend of technical leadership, research direction, and hands-on assurance responsibilities, with opportunities to shape innovation in areas such as NLP, reinforcement learning, computer vision, graph neural networks, and sensor-based AI systems. Key Responsibilities: Lead the technical delivery of complex AI/ML projects, overseeing the preparation and review … innovation bodies, or academic institutions). Deep expertise in at least one of the following, with working knowledge across multiple areas: AI/ML for imagery (including remote sensing) Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph-based neural networks AI/ML applied to RF, EW, radar, sonar, or acoustic signal processing More ❯

Bonus, Extensive Benefits Package Location: Chelmsford Are you an AI Lead Technologist looking for your next challenge? This is your chance to join a cutting-edge AI and Machine Learning capability that's actively shaping the future of data and decision intelligence. Working as part of a highly collaborative and cross-functional team, you'll engage in advanced research … across areas focusing on reinforcement learning and NLP/LLMs, - helping deliver real-world solutions for some of the most complex challenges out there. As an AI Lead Technologist, you'll be encouraged to take the lead on innovative projects that combine academic rigour with impactful application. You'll thrive here if you're passionate about using AI … field with around 10+ years of experience in AI/ML (ideally in the defence or security domain). Deep knowledge in one or more areas such as NLP, reinforcement learning, with broad awareness of other AI disciplines. Strong mathematical, statistical, and computational background underpinning AI/ML work. Demonstrated ability to provide engineering assurance and review of More ❯

who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with 10+ years More ❯